research
Affective computing
Here are some topics that we are working on
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Cognitive load, concentration recognition with image and/or biological signals (EEG, ECG, EMG, …).
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Graph-based contextual emotion recognition: video-based (spatial context, temporal context).
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Wearable-device based complex emotion recognition: biological signals (EEG, ECG, EMG, …).
Representative publications:
- Van Thong Huynh, Hyung-Jeong Yang, Guee-Sang Lee, Soo-Hyung Kim, "Prediction of Evoked Expression from Videos with Temporal Position Fusion," Pattern Recognition Letters, Vol. 172, pp. 245-251, August 2023. (2023 IF: 5.1)
- Huynh Van Thong, Hyung-Jeong Yang, Guee-Sang Lee, Soo Hyung Kim, “End-to-End Learning for Multimodal Emotion Recognition in Video with Adaptive Loss,” IEEE MultiMedia, Vol. 28, No. 2, pp. 59-66, April-June 2021. (2021 IF: 5.633, JCR10%)
Achievements in the past few years:
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Winner of the Evoked Expressions from Videos (EEV) Challenge - Affective Understanding in Video Workshop @ CVPR 2021.
Team SML: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.
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Winner of the EMOPAIN-2020 Pain Intensity Estimation from Facial Expresions Sub-Challenge - IEEE 2020 Face & Gesture Conference.
Team members: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.
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Winner of the Engagement prediction in the Wild - Seventh Emotion Recognition in the Wild Challenge (EmotiW) - 21st ACM International Conference on Multimodal Interaction 2019.
Team SML: Van-Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee, Hyung-Jeong Yang.
AI for healthcare
Here are some topics that we are working on
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Clinical data analysis for Rapid Response System.
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Diagnosis/Survival analysis with medical imaging.
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AI for industrial
Here are some topics that we are working on
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Battery industry: battery life cycle prediction, battery cell defects detection.
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Energies industry:energy demand forecasting, …
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